• DocumentCode
    576621
  • Title

    Sub-canopy topography estimation: Experiments with multibaseline SAR data at L-band

  • Author

    Pardini, M. ; Papathanassiou, K.

  • Author_Institution
    Microwave & Radar Inst. (HR), German Aerosp. Center (DLR), Oberpfaffenhofen, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4954
  • Lastpage
    4957
  • Abstract
    Synthetic aperture radar (SAR) systems in L-band and P-band are characterized by deep penetration capabilities into volumes, enabling new opportunities for the radar remote sensing of forests. In the last years, the interest has been continuously growing in the estimation of the sub-canopy topography, especially by exploiting multibaseline (possibly polarimetric) SAR data. This work intends to contribute on this topic by presenting further experiments with real L-band data about ground topography estimation and by quantifying the obtained performance. Different forest scenarios are considered. Potentials and limitations are analyzed with particular reference to a multibaseline relaxation-based algorithm.
  • Keywords
    geophysical techniques; remote sensing by radar; synthetic aperture radar; vegetation; L-band data; P-band data; SAR systems; deep penetration capabilities; forest radar remote sensing; ground topography estimation; multibaseline SAR data; multibaseline relaxation-based algorithm; sub-canopy topography; sub-canopy topography estimation; synthetic aperture radar; Biomass; Estimation error; Histograms; L-band; Surfaces; Synthetic aperture radar; Synthetic aperture radar; ground topography; radar signal processing; tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352500
  • Filename
    6352500